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2204.08932
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Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
19 April 2022
Yujin Tang
Yifan Peng
Weishi Zheng
CLL
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Papers citing
"Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data"
30 / 30 papers shown
Title
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
116
0
0
04 Nov 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
90
4
0
12 Jan 2024
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
106
168
0
17 Jun 2021
Continual Learning via Bit-Level Information Preserving
Yujun Shi
Li-xin Yuan
Yunpeng Chen
Jiashi Feng
CLL
75
43
0
10 May 2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp
Matthias De Lange
Tinne Tuytelaars
CLL
52
108
0
15 Apr 2021
Rethinking and Improving the Robustness of Image Style Transfer
Pei Wang
Yijun Li
Nuno Vasconcelos
OOD
50
88
0
08 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
94
296
0
07 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
102
343
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
67
454
0
31 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
246
177
0
02 Mar 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLL
BDL
97
82
0
02 Jan 2021
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
83
186
0
31 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLL
OOD
135
157
0
25 Mar 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
79
347
0
24 Feb 2020
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
130
431
0
16 Nov 2019
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,259
0
30 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
134
206
0
29 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
71
339
0
19 Mar 2019
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
87
1,160
0
25 Jul 2018
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
205
2,899
0
21 Feb 2018
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
301
9,811
0
25 Oct 2017
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
E. Risser
Pierre Wilmot
Connelly Barnes
101
248
0
31 Jan 2017
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
162
3,782
0
23 Nov 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
308
4,432
0
29 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
259
10,267
0
27 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
90
2,864
0
26 Aug 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,529
0
04 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
156
1,455
0
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,904
0
12 Nov 2013
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